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Hanson, J. H., Schutgens, M., Baral, N. What explains tourists support for snow leopard conservation in the Annapurna Conservation Area, Nepal? Human Dimensions of Wildlife, , 1–15.
Abstract: Wildlife tourism is increasingly important for the conservation of
threatened species such as snow leopards. However, what tourists
know or value about snow leopards, and to what extent they support
the conservation of this species, has received limited empirical attention.
This paper investigates tourist knowledge about snow leopards,
beliefs and values toward the species, and support for its conservation
in the Annapurna Conservation Area of Nepal. Survey data were
collected from 406 foreign tourists between March and May 2014.
Although knowledge about snow leopards varied among respondents,
there was widespread support for their conservation.
Knowledge about snow leopards was best explained by education
level and environmental organization membership. Improved knowledge
about the species, and a variety of intrinsic conservation values,
were found to increase tourist support for snow leopard conservation.
These results provide important insights to help tailor tourism
initiatives to support the conservation of snow leopards.
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Suryawanshi, K. R., Khanyari, M., Sharma, K., Lkhagvajav, P., Mishra, C. (2019). Sampling bias in snow leopard population estimation studies. Population Eccology, , 1–9.
Abstract: Accurate assessments of the status of threatened species and their conservation
planning require reliable estimation of their global populations and robust monitoring
of local population trends. We assessed the adequacy and suitability of studies
in reliably estimating the global snow leopard (Panthera uncia) population. We
compiled a dataset of all the peer-reviewed published literature on snow leopard
population estimation. Metadata analysis showed estimates of snow leopard density
to be a negative exponential function of area, suggesting that study areas have generally
been too small for accurate density estimation, and sampling has often been
biased towards the best habitats. Published studies are restricted to six of the
12 range countries, covering only 0.3�0.9% of the presumed global range of the
species. Re-sampling of camera trap data from a relatively large study site
(c.1684 km2) showed that small-sized study areas together with a bias towards
good quality habitats in existing studies may have overestimated densities by up to
five times. We conclude that current information is biased and inadequate for generating
a reliable global population estimate of snow leopards. To develop a rigorous
and useful baseline and to avoid pitfalls, there is an urgent need for
(a) refinement of sampling and analytical protocols for population estimation of
snow leopards (b) agreement and coordinated use of standardized sampling protocols
amongst researchers and governments across the range, and (c) sampling
larger and under-represented areas of the snow leopard's global range.
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Singh, S. K., De, R., Sharma, R., Maheshwari, A., Joshi, B. D., Sharma, D., Sathyakumar, S., Habib, B., Goyal, S. P. (2022). Conservation importance of the strategic, centrally located snow leopard population in the western Himalayas, India: a genetic perspective. Mammalian Biology, , 13.
Abstract: The snow leopard population in Union Territory of Ladakh (UTL), India is at the centre of five out of eight mountain ranges within the species' habitat in the high-mountain Asia. Its strategic location is of immense conservation significance to maintain genetic connectivity and metapopulation dynamics of snow leopards (Panthera uncia). Therefore, we provide the first estimates of the snow leopard's individual-based spatial genetic characteristics from UTL. Multi-locus genotyping (n = 14 loci) of individuals (n = 19) revealed moderate genetic diversity in the population (mean number of alleles = 5.86 ± 0.55, observed heterozygosity = 0.48 ± 0.05, expected heterozygosity = 0.65 ± 0.03, allelic richness = 2.65 ± 0.15). We did not observe any evidence of population structuring (using STRUCTURE and Factorial Correspondence Analysis) or isolation by distance. However, the clustering approach based on genetic distance (Nei's standard distance and Cavalli-Sforza and Edwards distance) and subsequent discriminant analysis of principal components (DAPC) revealed three sub-clusters of related individuals within the study population without any spatial correlates. We observed 1.2% first-order relatives, suggesting sufficient dispersal and panmixia in the UTL population. We observed high fixation index (FIS = 0.26 ± 0.05; 0.17 ± 0.03 upon removing loci with null alleles) and presence of individuals from genetically divergent populations in UTL. Hence, the high positive FIS value could be attributed to both Wahlund effect and inbreeding. Prioritization and effective conservation planning of the UTL population as a source would benefit the global snow leopard population by (i) maintaining connectivity between the Himalayas and the central Asian mountain ranges, and (ii) providing refuge during future climate change-related range contraction.
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Sharma, M., Khanyari, M., Khara, A., Bijoor, A., Mishra, C., Suryawanshi, K. R. (2024). Can livestock grazing dampen density-dependent fluctuations in wild herbivore populations? Journal of Applied Ecology, , 1–12.
Abstract: 1. Conservation policy for the high mountains of Asia increasingly recognises the need to encompass large multi-use landscapes beyond the protected area network. Due to limited long-term research in this region, our understanding of even fundamental processes, such as factors regulating large mammal populations is poor.
2. Understanding the factors that regulate animal populations, especially those generating cyclicity, is a long-standing problem in ecology. Long-term research across multiple taxa (mainly from Europe and North America) has focussed on the relative roles of food and predation in generating cyclicity in population dynamics. It remains unclear how trophic interactions that are influenced by anthropogenic stressors can affect population dynamics in human-modified landscapes.
3. We present a 10-year study to compare the effects of livestock grazing on density-dependent dynamics in two populations of bharal, Pseudois nayaur, in the Himalayas. We combine this with a mechanistic understanding of whether density dependence in these two sites acts predominantly by affecting adult survival or recruitment. We compared and quantified density dependence in the bharal population by fitting Bayesian Gompertz state-space models.
4. We found evidence for negative density dependence which indicates possible cyclic dynamics in the bharal population of the site (Tabo) with low livestock density. The population dynamics of this site were driven by recruited offspring—with a 2-year density-dependent lag effect—rather than adult survival. In the site with high livestock density (Kibber), this density dependence was not detected. We postulate the potential role of excessive grazing by livestock in affecting offspring recruitment, thereby affecting the bharal population in Kibber.
5. Synthesis and applications: Our results suggest that conservation action to facilitate wild herbivore population recovery, such as the development of protected areas and village reserves, needs to account for density-dependent regulation. Sites with trophy hunting require continuous monitoring to understand the effects of density dependence so that appropriate hunting quotas can be formulated.
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Sanyal, O., Bashir, T., Rana, M., Chandan, P. (2023). First photographic record of the snow leopard Panthera uncia in Kishtwar High Altitude National Park, Jammu and Kashmir, India. Oryx, , 1–5.
Abstract: The snow leopard Panthera uncia is categorized as Vulnerable on the IUCN Red List. It is the least well-known of the large felids because of its shy and elusive nature and the inaccessible terrain it inhabits across the mountains of Central and South Asia. We report the first photographic record of the snow leopard in Kishtwar High Altitude National Park, India. During our camera-trapping surveys, conducted using a grid-based design, we obtained eight photographs of snow leopards, the first at 3,280 m altitude on 19 September 2022 and subsequent photographs over 3,004-3,878 m altitude. We identified at least four different individuals, establishing the species’ occurrence in Kiyar, Nanth and Renai catchments, with a capture rate of 0.123 ± SE 0.072 captures/100 trap-nights. ghts. We also recorded the presence of snow leopard prey species, including the Siberian ibex Capra sibirica, Himalayan musk deer Moschus leucogaster, long-tailed marmot Marmota caudata and pika Ochotona sp., identifying the area as potential snow leopard habitat. Given the location of Kishtwar High Altitude National Park, this record is significant for the overall snow leopard conservation landscape in India. We recommend a comprehensive study across the Kishtwar landscape to assess the occupancy, abundance, demography and movement patterns of the snow leopard and its prey. In addition, interactions between the snow leopard and pastoral communities should be assessed to understand the challenges facing the conservation and management of this important high-altitude region.
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Burrard, G. (1925). Big Game Hunting in the Himalayas and Tibet. London: H. Jenkinns.
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Fox, J. L., & Chundawat, R. S. (1995). Wolves in the Transhimalayan region of India: The continued survival of a low-density population. Canadian Circumpolar Institute Occasional Publication No.35; Ecology and conservation of wolves in a changing world, 35, 95–103.
Abstract: Canadian Cirumpolar Institute, University of Alberta, Edmonton, Alberta, Canada/Second North American Symposium on Wolves, Edmonton, Alberta, Canada, August 25-27, 1992
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Fox, J. L. (1997). Rangeland management and wildlife conservation in the HKH. In D.J.Miller, & S.R.Craig (Eds.), (pp. 53–57).
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Green, M. J. B. (1992). Nature Reserves of the Himalaya and the Mountains of Central Asia. New Delhi: IUCN, Cambridge and Oxford University Press.
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Jackson, R., & Ahlborn, G. (1986). Himalayan snow leopard project: final progress report, phase 1.
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